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Standardizing terminal-outcome advantages can significantly boost online learning efficiency in asynchronous reinforcement learning scenarios.
Object-Uni transforms how we understand and generate spatial representations of objects, enabling precise manipulation of their poses in generated images.
Instruction-dense visual jailbreaks can covertly embed harmful instructions in images, bypassing safety measures that protect against direct text generation.
